Doppl by Google: Revolutionizing Fashion with AI-Powered Virtual Try-Ons in 2025

In June 2025, Google launched Doppl, an experimental app from Google Labs that leverages artificial intelligence to transform how users explore fashion. Available on iOS and Android in the U.S., Doppl allows users to virtually try on outfits using a full-body photo, creating a digital avatar that showcases clothing from any source—be it social media, thrift stores, or friends’ wardrobes. With features like AI-generated videos and seamless sharing, Doppl aims to make online shopping more personalized and interactive. This blog delves into Doppl’s features, its impact on fashion and e-commerce, privacy considerations, and its potential for users in Bhilwara and beyond, drawing on insights from TechCrunch, The Verge, and Google’s official announcements.

What Is Doppl?

Doppl, launched on June 26, 2025, is a Google Labs experiment designed to redefine online shopping by enabling users to visualize how outfits look on their own bodies. Unlike traditional virtual try-on tools that rely on static model images, Doppl uses generative AI to create a personalized digital avatar from a user-uploaded full-body photo. Users can then upload photos or screenshots of outfits—from Instagram, Pinterest, thrift stores, or even a friend’s closet—and see them superimposed on their avatar. The app also generates short AI-powered videos to simulate how clothes move, offering a dynamic preview of style and fit.

Currently available only in the U.S. for users aged 18+, Doppl requires a Google account and runs on devices with iOS 16.0+ or Android equivalent. It builds on Google Shopping’s virtual try-on feature (introduced in May 2025), which supports billions of clothing items, but Doppl’s standalone app format and ability to source outfits from anywhere make it more versatile. As Google notes, “Doppl helps you explore your style in new and exciting ways,” though its experimental nature means results may vary.

Key Features of Doppl

1. Virtual Try-On with Personalized Avatars

To use Doppl, users upload a full-body photo in a natural pose, ideally in bright light without hats or accessories that obscure clothing details. The app’s AI analyzes body shape and proportions to create a digital avatar. Users can then upload images of outfits—tops, bottoms, or dresses—from any source, and Doppl overlays them onto the avatar. This personalization, as highlighted by @rohanpaul_ai on X, sets Doppl apart from Google Shopping’s model-based try-ons, offering a tailored experience.

2. AI-Generated Video Animations

Doppl’s standout feature is its ability to convert static images into short animated videos, showing how outfits move on the user’s avatar. Animations include gestures like waving or posing, simulating fabric flow and fit. TechCrunch notes this adds “a better sense of how the outfit would look in real life,” enhancing decision-making for purchases. However, Google cautions that animations may not perfectly reflect fit or texture due to the app’s experimental status.

3. Flexible Outfit Sourcing

Unlike catalog-based try-on tools, Doppl allows users to source outfits from anywhere—social media, e-commerce sites, or physical stores. For example, a Bhilwara user could snap a photo of a kurta at a local shop or screenshot a lehenga from Instagram and see it on their avatar. This flexibility, praised by @Social_Samosa, makes Doppl a “creative leap” for fashion exploration.

4. Save and Share Functionality

Users can save favorite looks in a digital closet within the app and share them via social media or messaging apps. Google encourages sharing with tags like @GoogleLabs on X, fostering a social experience. This feature, as noted by News18, turns styling into a collaborative activity, ideal for getting feedback from friends.

5. Integration with Google’s Ecosystem

Doppl builds on Google Shopping’s AI capabilities, using a custom image generation model that understands clothing nuances like drape and stretch. This model, unveiled at Google I/O 2025, ensures realistic renders, though limitations exist for complex garments like shoes or lingerie. The app’s integration with Google’s ecosystem hints at future enhancements, such as linking to Google Shopping for direct purchases.

Impact on Fashion and E-Commerce

Doppl addresses a core pain point in online shopping: uncertainty about fit and appearance. With India’s e-commerce market projected to reach $200 billion by 2026, tools like Doppl could reshape how Bhilwara’s fashion-conscious youth shop. By allowing users to visualize outfits before buying, Doppl reduces return rates, a major issue for retailers like Myntra and Flipkart. Its ability to source outfits from non-catalog sources also empowers small businesses and thrift stores, aligning with India’s growing sustainable fashion trend.

For Bhilwara, where traditional attire like kurtas and sarees dominates, Doppl’s versatility could inspire users to experiment with fusion styles, blending local designs with modern trends seen on Instagram. The app’s social sharing feature taps into India’s social media boom—over 1.2 billion users in 2025—making it a tool for influencers and everyday shoppers alike. @FetchPakistan’s X post highlights its appeal for “fashion-forward” users, suggesting potential virality.

From a strategic perspective, Doppl serves as a data collection tool for Google. As noted by wersm.com, every outfit tried or shared provides insights into user preferences, refining Google’s advertising and shopping algorithms. This could lead to personalized ads or curated shopping experiences, boosting Google’s e-commerce dominance.

Privacy Considerations

Doppl’s reliance on full-body photos raises privacy concerns, especially after the 16 billion credential leak in June 2025. Google’s privacy policy states that uploads, generated outputs, and feedback are stored for up to three months to improve services, with human reviewers accessing anonymized data. However, tech2geek.net flags discrepancies: the Google Play Store claims no data collection, while the iOS App Store lists data linked to user identity, including photos and usage patterns. This inconsistency, coupled with AI’s potential for facial recognition or 3D modeling, warrants caution.

For Bhilwara users, Google advises against uploading sensitive photos and recommends simple outfits (e.g., tucked-in shirts, rolled-down sleeves) for accurate renders. To mitigate risks:

• Use AI Models: Opt for pre-made AI avatars instead of personal photos.

• Limit Sharing: Avoid sharing sensitive images on public platforms.

• Monitor Permissions: Restrict Doppl’s access to camera and storage via device settings.

• Provide Feedback: Report errors via the app’s “Give Feedback” link to improve privacy safeguards.

Limitations and Challenges

As an experimental app, Doppl has limitations:

• Accuracy Issues: The Verge reports rendering errors, such as distorted body shapes or mismatched clothing (e.g., jeans appearing as leg warmers). Complex garments like shoes or accessories are unsupported.

• U.S.-Only Availability: Doppl is restricted to U.S. users, with no confirmed timeline for India or Bhilwara, though Google plans global expansion.

• Performance Glitches: Users like @TechCrunch report lagging or failed generations, common in beta apps.

• Limited Clothing Support: Only tops, bottoms, and dresses are supported, excluding accessories or traditional Indian attire like sarees, which may limit appeal in Bhilwara.

Google encourages feedback to address these issues, with updates expected to refine AI accuracy and expand clothing categories.

Potential for Bhilwara and India

While Doppl is U.S.-exclusive, its eventual rollout to India could transform Bhilwara’s fashion scene. The city’s youth, active on Instagram and Pinterest, could use Doppl to experiment with outfits from local markets or online platforms like Ajio. Pairing Doppl with Vi’s 5G plans (e.g., ₹299 for unlimited data) would ensure smooth uploads and sharing, leveraging Bhilwara’s growing 5G coverage. For small businesses, Doppl could enable virtual try-ons for customers, boosting sales of traditional Rajasthani attire.

To prepare for Doppl’s potential India launch:

• Stay Updated: Follow @GoogleLabs on X for expansion announcements.

• Use Alternatives: Apps like Fotor or Lensa offer similar AI try-ons until Doppl arrives.

• Optimize Photos: Practice taking well-lit, full-body photos in simple outfits for future use.

Conclusion

Doppl, launched by Google Labs in June 2025, is a game-changer for fashion and e-commerce, using AI to create personalized virtual try-ons and animated videos. Its ability to source outfits from anywhere—social media, thrift stores, or friends—makes it a versatile tool for style exploration, as praised by @atach on X. Despite limitations like U.S.-only availability, rendering inaccuracies, and privacy concerns, Doppl’s potential to reduce shopping uncertainties and empower small businesses is immense. For Bhilwara’s fashion enthusiasts, Doppl could bridge traditional and modern styles, enhancing online shopping once it reaches India. As Google refines this experimental app, it promises to redefine how we express ourselves through fashion, making it a must-watch innovation in 2025.